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» Learning Object Shape: From Drawings to Images
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CVPR
2008
IEEE
16 years 3 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
ICCV
2001
IEEE
16 years 3 months ago
Beyond Lambert: Reconstructing Surfaces with Arbitrary BRDFs
W e address an open and hitherto neglected problem in computer vision, how to reconstruct the geometry of objects with arbitrary and possibly anisotropic bidirectional reflectance...
Sebastian Magda, David J. Kriegman, Todd Zickler, ...
ICMCS
1998
IEEE
86views Multimedia» more  ICMCS 1998»
15 years 6 months ago
Virtual Recovery of Excavated Archaeological Finds
This work aims at a virtual recovery of excavated archaeological finds in cyberspace for ancient relic preservation, archaeology research, and multimedia material generation. Many...
Jiang Yu Zheng, Zhong Li Zhang, Norihiro Abe
TROB
2002
212views more  TROB 2002»
15 years 1 months ago
Path planning for robust image-based control
Abstract-- Vision feedback control loop techniques are efficient for a large class of applications but they come up against difficulties when the initial and desired robot position...
Youcef Mezouar, François Chaumette
ECCV
2010
Springer
15 years 7 months ago
Detecting ground shadows in outdoor consumer photographs
Detecting shadows from images can significantly improve the performance of several vision tasks such as object detection and tracking. Recent approaches have mainly used illuminat...